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Class
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Topic
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Reading
Some Appendices are located on the publisher's website
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Milestones
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Dynamic Branch Prediction
4/1, 4/3
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What this class is about
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Review of pipelining
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Section 3.1. If the review in lecture isn't jogging your memory, consult Appendix C.1-C.4.
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Branch prediction
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Appendix C, pp. 26-30; Sections 3.3 and 3.9, pp. 202-208
Project report guidelines,
and sample project report
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Memory Hierarchy
4/8
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Review of caching
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No class.
4/10
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Memory Hierarchy
4/15
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Advanced caching techniques
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Section 2.2
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Execution Cores
4/17, 4/22, 4/24
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Superscalars and static scheduling
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Overview of dynamic scheduling
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Section 3.4 to p.170, Section 2.8
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Tomasulo's algorithm
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Section 3.4, p.170 to its end;
Section 3.5
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R10000-style dynamic scheduling (a physical register pool)
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The
Smith/Sohi article for superscalars in a nutshell.
In the R10000 article
read from register mapping,
p. 32, through Register files, p. 35.
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Branch prediction homework due Friday, April 25, 10:30.
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Midterm 1
4/29
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Exam is 1.5 hours
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Multiprocessors
5/1, 5/6
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Overview of multiprocessing
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Section 5.1
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Cache coherency
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Section 5.2, Section 5.4
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No class.
5/8
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Multiprocessors
5/13, 5/15
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Synchronization
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Section 5.5
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Wrap-up multiprocessing
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First coherency milestone due, Tuesday, May 13, before class time.
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Consistency models
Brandon Lucia, a Microsoft researcher and former CSE grad student and 471 TA
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Consistency Primer, pgs. 2-4, 17-27, 37-47
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Multithreading
5/20
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An Overview of Multithreading and Simultaneous Multithreading
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Section 3.5 and the SMT paper
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Data Parallelism
5/22
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GPUs, Brad Beckmann, AMD
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Section 4.1, 4.2, 4.4
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Combining ILP and TP
5/27, 5/29
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Dataflow Machines
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After reading them over, I don't think any of the papers on the
early dataflow machines are appropriate for classroom use. There
are no general overview papers. So just listen to the lecture.
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Wavescalar architecture and implementation
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Skim The WaveScalar Architecture and
An overview of the WaveScalar implementation.
Use this to reinforce what we discuss in lecture; don't pay much attention to any
new material covered in these papers.
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Coherency homework due, Thursday, May 29, before class.
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The Wave of the Future
6/3
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FPGAs -- Silicon for Procrastinators, Andrew Putnam (Microsoft Research, formerly CSE Grad Student)
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This paper,
"Performance and Power of Cache-Based Reconfigurable Computing", discusses much of what will be in Andrew's talk. It will be useful for your report.
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N Wrongs Make a Right: Saving Time and Energy with Approximate Computing, Adrian Sampson (CSE Grad Student)
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This paper,
Architecture Support for Disciplined Approximate Computing, discusses much of what will be in Adrian's talk. It will be useful for your report.
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MP Scaling
6/5
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MP Scaling for Graph Algorithms
Jacob Nelson (CSE grad student)
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This paper,
"Cora: A Latency-Tolerant Runtime for Large-Scale Irregular Applications" is just FYI.
You're not responsible for reading it.
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Consistency homework due, Thursday, June 5, before class. Guest lecture write-up due the same time.
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Midterm 2
6/9 10:30
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Exam is 2 hours
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